A semidiscrete matrix decomposition for latent semantic indexing information retrieval

@article{Kolda1998ASM,
  title={A semidiscrete matrix decomposition for latent semantic indexing information retrieval},
  author={Tamara G. Kolda and Dianne P. O'Leary},
  journal={ACM Trans. Inf. Syst.},
  year={1998},
  volume={16},
  pages={322-346}
}
The vast amount of textual information available today is useless unless it can be effectively and efficiently searched. The goal in information retrieval is to find documents that are relevant to a given user query. We can represent and document collection by a matrix whose (i, j) entry is nonzero only if the ith term appears in the jth document; thus each document corresponds to a columm vector. The query is also represented as a column vector whose ith term is nonzero only if the ith term… CONTINUE READING

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